I have a RNA-seq dataset with normalization in RPKM. The dataset have 1 gene per row with 4 different experiment condition. I need a detect de outliers values in this dataset.
I used de weka filter interquantil Range: A filter for detecting outliers and extreme values based on interquartile ranges. The filter skips the class attribute.
Outliers: Q3 + OF * IQR < x <= Q3 + EVF * IQR or Q1 - EVF * IQR <= x < Q1 - OF * IQR
Extreme values: x > Q3 + EVF * IQR or x < Q1 - EVF * IQR
My questions are:
-Exist other methods for outliers detection in this type of data ?
-I can continue to use this method for my data?
- Any suggestions?